Galtan
Regression analysis is a statistical technique to measure the degree of linear agreement in variations between two or more variables.
Regression analysis describes the relationship between two or more variables. The measure of the explanatory power of the regression model is R2 (i.e. coefficient of determination).
There is no difference between value analysis and value engineering. Both are names applied to the same formal analytical process developed at General Electric in 1947 by Larry Miles. It was originally called value analysis, and has come to be called by several names as time has passed (value analysis, value engineering, value management, the value methodology). The term "Value Engineering" is also often mis-used to refer to any exercise to reduce cost. Don Stafford, VP-Education, SAVE International
What is the major advantage of using C-V-P graphs?
It is a measure of how likely the observed values (or those more extreme) are under the assumptions of the regression model.
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Dean P. Foster has written: 'Business analysis using regression' -- subject(s): Regression analysis, Statistical methods, Social sciences, Commercial statistics 'Basic business statistics' -- subject(s): Commercial statistics, Case studies
Before undertaking regression analysis, one must decide on which variables will be analysed. Regression analysis is predicting a variable from a number of other variables.
of, pertaining to, or determined by regression analysis: regression curve; regression equation. dictionary.com
Reginald P. Baker has written: 'The 1975 refugees' -- subject(s): Refugees, Regression analysis, Employment
how can regression model approach be useful in lean construction concept in the mass production of houses
Galtan
Regression analysis is a statistical technique to measure the degree of linear agreement in variations between two or more variables.
Howard E. Doran has written: 'Applied regression analysis in econometrics' -- subject(s): Econometrics, Regression analysis
Peihua Qiu has written: 'Image processing and jump regression analysis' -- subject(s): Regression analysis, Image processing
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